Network Analysis Resources & Updates
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آرشیو پست ها
📄Networks visualization
💥Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
📎Study
📲Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi
📄Applications of Differential Privacy in Social Network Analysis: A Survey
📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
📄A comprehensive review on knowledge graphs for complex diseases
📘Journal: Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks
📽 Watch: part1 part2 part3
📝Slides
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
🎞 Social Network Analysis. Lecture4. Network structure and community detection
💥Free recorded Tutorial by Leonid E. Zhokov
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Community_Detection
📄Basic and Advanced Network Visualization with R
💥Technical paper
📘 PDF
💻 Code
🗂️ data
📲Channel: @ComplexNetworkAnalysis
#tools #R #code
📄Graph Neural Networks for Text Classification: A Survey
📘Journal: Computer Sciences
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Text #Classification #survey
📄 Influential nodes identification in complex networks: a comprehensive literature review
📘Journal: Beni-Suef University Journal of Basic and Applied Sciences
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #nfluential #nodes #comprehensive #review
📕Network visualization with R
💥This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here.
📘 PDF
💻 code
🌐 Read online
📲Channel: @ComplexNetworkAnalysis
#book #R #code
📄 Considering weights in real social networks: A review
📘Journal: Frontiers in Physics (I.F=3.718)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Considering #weights #review
📕Networks, Crowds, and Markets:
Reasoning About a Highly Connected World
📝Authors: David Easley and Jon Kleinberg.
💥Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
🗓 publish year: 2010
📖 Study book
📲Channel: @ComplexNetworkAnalysis
#book #network
📄 Literature review on the influence of social networks
📘Conference: The Fifth International Conference on Social Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Literature #influence #review
📄Basic and Advanced Network Visualization with Gephi
💥Technical paper
📘 PDF
💻 data
📲Channel: @ComplexNetworkAnalysis
#tools #Gephi
📄Basic and Advanced Network Visualization with Gephi
💥Technical paper
📘 PDF
💻 data
📲Channel: @ComplexNetworkAnalysis
#video #Gephi
🎞 Machine learning and link prediction
💥Free recorded Tutorial by Mark Needham & Jennifer Reif
💥Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected outcome
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Machine_learning #link_prediction
📄Programming Graphs in Python
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python
🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
📽 Watch: part1 part2 part3
📝Slides
💻code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
🎓A comparison of visualisation techniques for complex networks
📘Master’s Thesis in Computer Science Royal Institute of Technology
🗓Publish year: 2016
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #comparison #visualisation #techniques
🎞 Overview of Complex Networks
💥Free recorded Tutorial on overview of complex networks
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Tutorial #Overview
📄Counterfactual Learning on Graphs: A Survey
📘Journal: Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Counterfactual_Learning #Graphs #Survey
